Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) Study

医学 记录链接 病历 疾病 中国 流行病学 医疗保健 人口 数据质量 家庭医学 健康档案 队列研究 数据管理 队列 环境卫生 医疗急救 数据挖掘 地理 病理 运营管理 公制(单位) 考古 经济增长 计算机科学 经济 放射科
作者
Hongbo Lin,Xun Tang,Peng Shen,Dudan Zhang,Jinguo Wu,Jingyi Zhang,Ping Lu,Yaqin Si,Pei Gao
出处
期刊:BMJ Open [BMJ]
卷期号:8 (2): e019698-e019698 被引量:91
标识
DOI:10.1136/bmjopen-2017-019698
摘要

Introduction Data based on electronic health records (EHRs) are rich with individual-level longitudinal measurement information and are becoming an increasingly common data source for clinical risk prediction worldwide. However, few EHR-based cohort studies are available in China. Harnessing EHRs for research requires a full understanding of data linkages, management, and data quality in large data sets, which presents unique analytical opportunities and challenges. The purpose of this study is to provide a framework to establish a uniquely integrated EHR database in China for scientific research. Methods and analysis The CHinese Electronic health Records Research in Yinzhou (CHERRY) Study will extract individual participant data within the regional health information system of an eastern coastal area of China to establish a longitudinal population-based ambispective cohort study for cardiovascular care and outcomes research. A total of 1 053 565 Chinese adults aged over 18 years were registered in the health information system in 2009, and there were 23 394 deaths from 1 January 2009 to 31 December 2015. The study will include information from multiple epidemiological surveys; EHRs for chronic disease management; and health administrative, clinical, laboratory, drug and electronic medical record (EMR) databases. Follow-up of fatal and non-fatal clinical events is achieved through records linkage to the regional system of disease surveillance, chronic disease management and EMRs (based on diagnostic codes from the International Classification of Diseases, tenth revision). The CHERRY Study will provide a unique platform and serve as a valuable big data resource for cardiovascular risk prediction and population management, for primary and secondary prevention of cardiovascular events in China. Ethics and dissemination The CHERRY Study was approved by the Peking University Institutional Review Board (IRB00001052-16011) in April 2016. Results of the study will be disseminated through published journal articles, conferences and seminar presentations, and on the study website ( http://www.cherry-study.org ).
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